• en

• google/gemma-3-12b-it

• Uncensored
• text-generation
• vision-language
• multimodal

Gemma 3 – 12B IT Uncensored

This repository hosts Gemma 3 – 12B IT Uncensored, an instruction-tuned 12 billion–parameter model based on Google’s Gemma 3 architecture, along with its Vision-Language (VLM) variant.
The model is intended for advanced local and research use, offering strong instruction-following, reasoning, coding, and (for the VLM) multimodal image + text understanding, with minimal additional alignment constraints.

Model Overview

• Model Name: Gemma 3 – 12B IT Uncensored
• VLM Variant: Gemma 3 – 12B IT VLM Uncensored
• Base Architecture: Gemma 3, 12 billion parameters (12B)
• Base Model Developer: Google
• Curator / Release: BrainDAO
• License: Gemma License (inherits from the base model)
• Intended Use: Instruction following, reasoning, coding, conversation, and multimodal understanding

What Is This Model?

This is an uncensored derivative of the Gemma 3 12B Instruction-Tuned (IT) model.
No additional safety layers, refusals, or alignment constraints have been intentionally added beyond those present in the base model.

The goal is to provide:

• Greater freedom in system prompt design
• Fewer artificial refusals
• Strong general reasoning and instruction adherence
• Full user control in local or private deployments

Key Features & Capabilities

Text Model (LLM)

• High-quality instruction following
• Strong logical and analytical reasoning
• Coding assistance across multiple programming languages
• Conversational and assistant-style interactions
• Suitable for agentic and tool-augmented workflows

Vision-Language Model (VLM)

• Image understanding and description
• Visual question answering (VQA)
• Image + text instruction following
• Multimodal chat and assistant use cases

Chat Template & System Prompt

The model follows the Gemma instruction format.

Example:

<bos><startofturn>system
You are a helpful AI assistant.
<endofturn>
<startofturn>user
{your prompt here}
<endofturn>
<startofturn>assistant

For the VLM variant, images must be provided using the multimodal input format supported by your inference framework.

Intended Use Cases

• General-purpose assistant — reasoning, writing, and conversation
• Coding assistant — generation, debugging, and refactoring
• Research & analysis — structured reasoning and synthesis
• Agentic workflows — tool use, planners, function calling
• Multimodal applications (VLM) — image QA, captioning, visual reasoning
• Local & private deployment — full control over data and prompts

License & Usage Notes

This model inherits the Gemma License from its base model (google/gemma-3-12b-it).

• The Gemma License is a custom license provided by Google
• You must review and comply with the Gemma terms of use before downloading, using, or redistributing this model
• This repository does not relicense the model under Apache-2.0, MIT, or any other standard open-source license

Users are solely responsible for ensuring their use complies with the Gemma License and all applicable laws and regulations.

Acknowledgements

• Google for the Gemma 3 architecture and base model
• BrainDAO for curation and release
• The open-source community supporting local inference, quantization, and deployment tools

Community & Support

• Use the Hugging Face Discussions tab for questions and updates
• Community feedback and contributions are welcome